Kelong Mao

Orcid: 0000-0002-5648-568X

According to our database1, Kelong Mao authored at least 20 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
ConvSDG: Session Data Generation for Conversational Search.
CoRR, 2024

Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding.
CoRR, 2024

Grounding Language Model with Chunking-Free In-Context Retrieval.
CoRR, 2024

Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation.
CoRR, 2024

History-Aware Conversational Dense Retrieval.
CoRR, 2024

2023
Learning to Relate to Previous Turns in Conversational Search.
CoRR, 2023

Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search.
CoRR, 2023

Learning Denoised and Interpretable Session Representation for Conversational Search.
Proceedings of the ACM Web Conference 2023, 2023

Learning to Relate to Previous Turns in Conversational Search.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ConvGQR: Generative Query Reformulation for Conversational Search.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Search-Oriented Conversational Query Editing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Curriculum Contrastive Context Denoising for Few-shot Conversational Dense Retrieval.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Molecular graph enhanced transformer for retrosynthesis prediction.
Neurocomputing, 2021

Byte-Label Joint Attention Learning for Packet-grained Network Traffic Classification.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

SimpleX: A Simple and Strong Baseline for Collaborative Filtering.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020


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